Pandas Profiling Report

Dataset statistics

Number of variables	12
Number of observations	243596
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	5421
Duplicate rows (%)	2.2%
Total size in memory	22.3 MiB
Average record size in memory	96.0 B

Variable types

Numeric	9
Categorical	3

Alerts

Dataset has 5421 (2.2%) duplicate rows	Duplicates
`fps_lags` is highly correlated with `dropped_frames_mean` and 2 other fields	High correlation
`dropped_frames_mean` is highly correlated with `fps_lags` and 2 other fields	High correlation
`dropped_frames_std` is highly correlated with `fps_lags` and 2 other fields	High correlation
`dropped_frames_max` is highly correlated with `fps_lags` and 2 other fields	High correlation
`rtt_mean` is highly correlated with `rtt_std`	High correlation
`rtt_std` is highly correlated with `rtt_mean`	High correlation
`dropped_frames_mean` is highly correlated with `dropped_frames_max`	High correlation
`dropped_frames_max` is highly correlated with `dropped_frames_mean`	High correlation
`fps_lags` is highly correlated with `dropped_frames_mean` and 2 other fields	High correlation
`dropped_frames_mean` is highly correlated with `fps_lags` and 2 other fields	High correlation
`dropped_frames_std` is highly correlated with `fps_lags` and 2 other fields	High correlation
`dropped_frames_max` is highly correlated with `fps_lags` and 2 other fields	High correlation
`fps_mean` is highly correlated with `fps_std` and 1 other fields	High correlation
`fps_std` is highly correlated with `fps_mean`	High correlation
`fps_lags` is highly correlated with `fps_mean` and 1 other fields	High correlation
`rtt_mean` is highly correlated with `rtt_std`	High correlation
`rtt_std` is highly correlated with `rtt_mean`	High correlation
`dropped_frames_mean` is highly correlated with `dropped_frames_max`	High correlation
`dropped_frames_max` is highly correlated with `dropped_frames_mean`	High correlation
`auto_fec_state` is highly correlated with `auto_fec_mean`	High correlation
`auto_fec_mean` is highly correlated with `auto_fec_state`	High correlation
`stream_quality` is highly correlated with `fps_lags`	High correlation
`rtt_mean` is highly skewed (γ1 = 33.39349025)	Skewed
`dropped_frames_mean` is highly skewed (γ1 = 186.5391544)	Skewed
`dropped_frames_std` is highly skewed (γ1 = 486.3128689)	Skewed
`dropped_frames_max` is highly skewed (γ1 = 186.5391543)	Skewed
`fps_std` has 58199 (23.9%) zeros	Zeros
`fps_lags` has 228145 (93.7%) zeros	Zeros
`rtt_mean` has 3514 (1.4%) zeros	Zeros
`rtt_std` has 9344 (3.8%) zeros	Zeros
`dropped_frames_mean` has 224288 (92.1%) zeros	Zeros
`dropped_frames_std` has 224703 (92.2%) zeros	Zeros
`dropped_frames_max` has 224288 (92.1%) zeros	Zeros
`auto_fec_mean` has 36416 (14.9%) zeros	Zeros

Reproduction

Analysis started	2022-10-05 01:41:22.177105
Analysis finished	2022-10-05 01:41:33.840362
Duration	11.66 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

fps_mean
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	639
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.65525173

Minimum	0
Maximum	84.6
Zeros	370
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	23.8
Q1	28.6
median	30
Q3	42.5
95-th percentile	57.5
Maximum	84.6
Range	84.6
Interquartile range (IQR)	13.9

Descriptive statistics

Standard deviation	10.98654749
Coefficient of variation (CV)	0.3170240278
Kurtosis	-0.06269964055
Mean	34.65525173
Median Absolute Deviation (MAD)	2.8
Skewness	0.8680873114
Sum	8441880.7
Variance	120.7042257
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	53058	21.8%
29.9	9793	4.0%
29.8	5662	2.3%
29.7	4144	1.7%
30.1	3939	1.6%
29.6	3309	1.4%
29.5	2808	1.2%
29.4	2345	1.0%
29	2086	0.9%
29.3	2067	0.8%
Other values (629)	154385	63.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	370	0.2%
0.1	16	< 0.1%
0.2	7	< 0.1%
0.3	7	< 0.1%
0.4	4	< 0.1%
0.5	2	< 0.1%
0.6	1	< 0.1%
0.7	4	< 0.1%
0.8	4	< 0.1%
0.9	5	< 0.1%

Value	Count	Frequency (%)
84.6	1	< 0.1%
78.6	1	< 0.1%
77.1	1	< 0.1%
75.8	1	< 0.1%
74.1	1	< 0.1%
72.5	1	< 0.1%
71.4	1	< 0.1%
71.2	1	< 0.1%
65	1	< 0.1%
64.7	1	< 0.1%

fps_std
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	18713
Distinct (%)	7.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.261398073

Minimum	0
Maximum	150.7660439
Zeros	58199
Zeros (%)	23.9%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.316227766
median	0.994428926
Q3	2.547329757
95-th percentile	9.501461876
Maximum	150.7660439
Range	150.7660439
Interquartile range (IQR)	2.231101991

Descriptive statistics

Standard deviation	3.554645289
Coefficient of variation (CV)	1.571879508
Kurtosis	48.31494126
Mean	2.261398073
Median Absolute Deviation (MAD)	0.994428926
Skewness	3.953706957
Sum	550867.5249
Variance	12.63550313
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	58199	23.9%
0.316227766	3762	1.5%
0.316227766	2858	1.2%
0.316227766	2556	1.0%
0.316227766	2525	1.0%
0.316227766	1793	0.7%
0.4714045208	1280	0.5%
0.9486832981	1252	0.5%
0.632455532	1179	0.5%
0.4216370214	1154	0.5%
Other values (18703)	167038	68.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	58199	23.9%
0.316227766	123	0.1%
0.316227766	2858	1.2%
0.316227766	1793	0.7%
0.316227766	2525	1.0%
0.316227766	3762	1.5%
0.316227766	2556	1.0%
0.316227766	198	0.1%
0.316227766	115	< 0.1%
0.316227766	121	< 0.1%

Value	Count	Frequency (%)
150.7660439	1	< 0.1%
150.233337	1	< 0.1%
100.7957781	1	< 0.1%
96.06849408	1	< 0.1%
90.89340521	1	< 0.1%
90.08940004	1	< 0.1%
87.34885358	1	< 0.1%
77.42989661	1	< 0.1%
72.60157635	1	< 0.1%
69.35007811	1	< 0.1%

fps_lags
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.103252927

Minimum	0
Maximum	10
Zeros	228145
Zeros (%)	93.7%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6158780258
Coefficient of variation (CV)	5.964751255
Kurtosis	172.5560032
Mean	0.103252927
Median Absolute Deviation (MAD)	0
Skewness	11.88249546
Sum	25152
Variance	0.3793057426
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	228145	93.7%
1	12341	5.1%
2	1693	0.7%
10	558	0.2%
3	401	0.2%
4	140	0.1%
5	99	< 0.1%
6	69	< 0.1%
7	66	< 0.1%
8	45	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	228145	93.7%
1	12341	5.1%
2	1693	0.7%
3	401	0.2%
4	140	0.1%
5	99	< 0.1%
6	69	< 0.1%
7	66	< 0.1%
8	45	< 0.1%
9	39	< 0.1%

Value	Count	Frequency (%)
10	558	0.2%
9	39	< 0.1%
8	45	< 0.1%
7	66	< 0.1%
6	69	< 0.1%
5	99	< 0.1%
4	140	0.1%
3	401	0.2%
2	1693	0.7%
1	12341	5.1%

rtt_mean
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	5192
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.27376188

Minimum	0
Maximum	13456.8
Zeros	3514
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	4.8
Q1	14.6
median	30.6
Q3	59.3
95-th percentile	160.8
Maximum	13456.8
Range	13456.8
Interquartile range (IQR)	44.7

Descriptive statistics

Standard deviation	163.8729656
Coefficient of variation (CV)	2.964751448
Kurtosis	1987.056418
Mean	55.27376188
Median Absolute Deviation (MAD)	19
Skewness	33.39349025
Sum	13464467.3
Variance	26854.34884
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3514	1.4%
6	843	0.3%
6.1	792	0.3%
5	790	0.3%
6.2	771	0.3%
16.3	731	0.3%
5.9	722	0.3%
16.5	710	0.3%
6.3	710	0.3%
6.6	702	0.3%
Other values (5182)	233311	95.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3514	1.4%
0.4	1	< 0.1%
0.5	3	< 0.1%
0.6	3	< 0.1%
0.7	2	< 0.1%
0.8	2	< 0.1%
0.9	3	< 0.1%
1	5	< 0.1%
1.1	4	< 0.1%
1.2	4	< 0.1%

Value	Count	Frequency (%)
13456.8	1	< 0.1%
12496	9	< 0.1%
12058.8	1	< 0.1%
12051.3	1	< 0.1%
11593.6	1	< 0.1%
9008.4	1	< 0.1%
6615.7	1	< 0.1%
6587.7	1	< 0.1%
6584.6	1	< 0.1%
6496.8	1	< 0.1%

rtt_std
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	49646
Distinct (%)	20.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.68391714

Minimum	0
Maximum	9561.738301
Zeros	9344
Zeros (%)	3.8%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0.316227766
Q1	0.7071067812
median	1.699673171
Q3	6.624030327
95-th percentile	46.388666
Maximum	9561.738301
Range	9561.738301
Interquartile range (IQR)	5.916923546

Descriptive statistics

Standard deviation	146.2428758
Coefficient of variation (CV)	7.070366544
Kurtosis	432.2814232
Mean	20.68391714
Median Absolute Deviation (MAD)	1.21662728
Skewness	17.43594552
Sum	5038519.48
Variance	21386.97871
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	9344	3.8%
0.4830458915	1965	0.8%
0.5163977795	1846	0.8%
0.4216370214	1698	0.7%
0.316227766	1632	0.7%
0.5676462122	1574	0.6%
0.5163977795	1538	0.6%
0.6749485577	1412	0.6%
0.316227766	1300	0.5%
0.7888106377	1250	0.5%
Other values (49636)	220037	90.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9344	3.8%
0.316227766	11	< 0.1%
0.316227766	11	< 0.1%
0.316227766	8	< 0.1%
0.316227766	106	< 0.1%
0.316227766	392	0.2%
0.316227766	497	0.2%
0.316227766	440	0.2%
0.316227766	150	0.1%
0.316227766	1632	0.7%

Value	Count	Frequency (%)
9561.738301	1	< 0.1%
7558.19307	1	< 0.1%
6798.502091	1	< 0.1%
6370.957946	1	< 0.1%
5771.552498	1	< 0.1%
5129.906415	1	< 0.1%
5102.562716	1	< 0.1%
4855.390045	1	< 0.1%
4855.065327	1	< 0.1%
4836.834314	1	< 0.1%

dropped_frames_mean
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	775
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31538.26549

Minimum	0
Maximum	1097304300
Zeros	224288
Zeros (%)	92.1%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4.6
Maximum	1097304300
Range	1097304300
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5882144.321
Coefficient of variation (CV)	186.5081744
Kurtosis	34795.14214
Mean	31538.26549
Median Absolute Deviation (MAD)	0
Skewness	186.5391544
Sum	7682595320
Variance	3.459962181 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	224288	92.1%
3.4	634	0.3%
3.3	616	0.3%
3.5	489	0.2%
3.2	353	0.1%
3.6	342	0.1%
6.5	299	0.1%
3.7	289	0.1%
6	286	0.1%
5.9	284	0.1%
Other values (765)	15716	6.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	224288	92.1%
0.1	204	0.1%
0.2	76	< 0.1%
0.3	76	< 0.1%
0.4	80	< 0.1%
0.5	74	< 0.1%
0.6	91	< 0.1%
0.7	87	< 0.1%
0.8	77	< 0.1%
0.9	75	< 0.1%

Value	Count	Frequency (%)
1097304300	7	< 0.1%
65530	19	< 0.1%
32765	1	< 0.1%
212	1	< 0.1%
198.1	1	< 0.1%
196.1	1	< 0.1%
195.5	1	< 0.1%
192.9	1	< 0.1%
191.1	1	< 0.1%
190.3	1	< 0.1%

dropped_frames_std
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	4686
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.573090527

Minimum	0
Maximum	34537.34251
Zeros	224703
Zeros (%)	92.2%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	12.96533841
Maximum	34537.34251
Range	34537.34251
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	70.32015208
Coefficient of variation (CV)	44.70191057
Kurtosis	238832.9733
Mean	1.573090527
Median Absolute Deviation (MAD)	0
Skewness	486.3128689
Sum	383198.5601
Variance	4944.923788
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	224703	92.2%
10.43551628	608	0.2%
11.06797181	471	0.2%
10.75174404	418	0.2%
10.11928851	350	0.1%
11.38419958	329	0.1%
11.70042734	284	0.1%
18.65743819	253	0.1%
18.97366596	243	0.1%
12.01665511	226	0.1%
Other values (4676)	15711	6.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	224703	92.2%
0.316227766	207	0.1%
0.316227766	1	< 0.1%
0.4216370214	8	< 0.1%
0.4216370214	1	< 0.1%
0.4830458915	4	< 0.1%
0.5163977795	5	< 0.1%
0.5270462767	2	< 0.1%
0.632455532	1	< 0.1%
0.632455532	69	< 0.1%

Value	Count	Frequency (%)
34537.34251	1	< 0.1%
422.58134	1	< 0.1%
389.8126188	1	< 0.1%
355.7952126	1	< 0.1%
335.4433882	1	< 0.1%
296.4273192	1	< 0.1%
291.878228	1	< 0.1%
272.4003589	1	< 0.1%
260.303434	1	< 0.1%
254.9580358	1	< 0.1%

dropped_frames_max
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	372
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31541.88123

Minimum	0
Maximum	1097304300
Zeros	224288
Zeros (%)	92.1%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	38
Maximum	1097304300
Range	1097304300
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	5882144.302
Coefficient of variation (CV)	186.4867939
Kurtosis	34795.14211
Mean	31541.88123
Median Absolute Deviation (MAD)	0
Skewness	186.5391543
Sum	7683476099
Variance	3.459962159 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	224288	92.1%
34	1024	0.4%
33	892	0.4%
35	724	0.3%
32	484	0.2%
60	477	0.2%
36	475	0.2%
59	451	0.2%
37	411	0.2%
38	353	0.1%
Other values (362)	14017	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	224288	92.1%
1	283	0.1%
2	70	< 0.1%
3	77	< 0.1%
4	79	< 0.1%
5	79	< 0.1%
6	83	< 0.1%
7	86	< 0.1%
8	78	< 0.1%
9	92	< 0.1%

Value	Count	Frequency (%)
1097304300	7	< 0.1%
65530	20	< 0.1%
1343	1	< 0.1%
1131	1	< 0.1%
1079	1	< 0.1%
1034	1	< 0.1%
923	1	< 0.1%
854	1	< 0.1%
841	1	< 0.1%
757	2	< 0.1%

auto_bitrate_state
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

off	196985
full	46365
partial	246

Length

Max length	7
Median length	3
Mean length	3.194375113
Min length	3

Characters and Unicode

Total characters	778137
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	off
2nd row	off
3rd row	off
4th row	off
5th row	off

Common Values

Value	Count	Frequency (%)
off	196985	80.9%
full	46365	19.0%
partial	246	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
off	196985	80.9%
full	46365	19.0%
partial	246	0.1%

Most occurring characters

Value	Count	Frequency (%)
f	440335	56.6%
o	196985	25.3%
l	92976	11.9%
u	46365	6.0%
a	492	0.1%
p	246	< 0.1%
r	246	< 0.1%
t	246	< 0.1%
i	246	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	778137	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	440335	56.6%
o	196985	25.3%
l	92976	11.9%
u	46365	6.0%
a	492	0.1%
p	246	< 0.1%
r	246	< 0.1%
t	246	< 0.1%
i	246	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	778137	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	440335	56.6%
o	196985	25.3%
l	92976	11.9%
u	46365	6.0%
a	492	0.1%
p	246	< 0.1%
r	246	< 0.1%
t	246	< 0.1%
i	246	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	778137	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	440335	56.6%
o	196985	25.3%
l	92976	11.9%
u	46365	6.0%
a	492	0.1%
p	246	< 0.1%
r	246	< 0.1%
t	246	< 0.1%
i	246	< 0.1%

auto_fec_state
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

partial	207180
off	36416

Length

Max length	7
Median length	7
Mean length	6.402026306
Min length	3

Characters and Unicode

Total characters	1559508
Distinct characters	8
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	partial
2nd row	partial
3rd row	partial
4th row	partial
5th row	partial

Common Values

Value	Count	Frequency (%)
partial	207180	85.1%
off	36416	14.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
partial	207180	85.1%
off	36416	14.9%

Most occurring characters

Value	Count	Frequency (%)
a	414360	26.6%
p	207180	13.3%
r	207180	13.3%
t	207180	13.3%
i	207180	13.3%
l	207180	13.3%
f	72832	4.7%
o	36416	2.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1559508	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	414360	26.6%
p	207180	13.3%
r	207180	13.3%
t	207180	13.3%
i	207180	13.3%
l	207180	13.3%
f	72832	4.7%
o	36416	2.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1559508	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	414360	26.6%
p	207180	13.3%
r	207180	13.3%
t	207180	13.3%
i	207180	13.3%
l	207180	13.3%
f	72832	4.7%
o	36416	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1559508	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	414360	26.6%
p	207180	13.3%
r	207180	13.3%
t	207180	13.3%
i	207180	13.3%
l	207180	13.3%
f	72832	4.7%
o	36416	2.3%

auto_fec_mean
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	101
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.4089476

Minimum	0
Maximum	250
Zeros	36416
Zeros (%)	14.9%
Negative	0
Negative (%)	0.0%
Memory size	1.9 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	50
median	50
Q3	50
95-th percentile	100
Maximum	250
Range	250
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	35.64902586
Coefficient of variation (CV)	0.7215095158
Kurtosis	8.447496015
Mean	49.4089476
Median Absolute Deviation (MAD)	0
Skewness	2.2642051
Sum	12035822
Variance	1270.853045
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	180281	74.0%
0	36416	14.9%
100	11660	4.8%
200	8121	3.3%
20	4178	1.7%
40	1316	0.5%
60	220	0.1%
22	173	0.1%
24	111	< 0.1%
26	79	< 0.1%
Other values (91)	1041	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36416	14.9%
4	2	< 0.1%
5	6	< 0.1%
8	1	< 0.1%
10	17	< 0.1%
12	2	< 0.1%
15	14	< 0.1%
18	1	< 0.1%
20	4178	1.7%
22	173	0.1%

Value	Count	Frequency (%)
250	3	< 0.1%
208	1	< 0.1%
200	8121	3.3%
190	6	< 0.1%
185	11	< 0.1%
184	1	< 0.1%
182	1	< 0.1%
180	11	< 0.1%
171	1	< 0.1%
170	26	< 0.1%

stream_quality
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

0	227902
1	15694

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	243596
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	227902	93.6%
1	15694	6.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	227902	93.6%
1	15694	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	227902	93.6%
1	15694	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	243596	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	227902	93.6%
1	15694	6.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	243596	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	227902	93.6%
1	15694	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	243596	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	227902	93.6%
1	15694	6.4%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	fps_mean	fps_std	rtt_mean	rtt_std	auto_bitrate_state	auto_fec_state	auto_fec_mean
0	29.9	0.316228	55.0	0.942809	off	partial	50.0
1	30.0	0.000000	55.0	0.942809	off	partial	50.0
2	30.0	0.000000	56.0	3.299832	off	partial	50.0
3	29.9	0.316228	58.4	4.599517	off	partial	50.0
4	30.0	0.000000	54.7	1.251666	off	partial	50.0
5	30.0	0.000000	54.4	0.699206	off	partial	50.0
6	29.7	0.948683	55.6	1.837873	off	partial	50.0
7	30.0	0.000000	58.6	1.712698	off	partial	50.0
8	30.0	0.000000	57.9	1.286684	off	partial	50.0
9	30.0	0.000000	57.3	0.483046	off	partial	50.0

Last rows

	fps_mean	rtt_mean	auto_bitrate_state	auto_fec_state	auto_fec_mean
243586	24.0	9.0	off	partial	50.0
243587	24.0	9.0	off	partial	50.0
243588	24.0	9.0	off	partial	50.0
243589	24.0	9.0	off	partial	50.0
243590	24.0	9.0	off	partial	50.0
243591	24.0	9.0	off	partial	50.0
243592	24.0	9.0	off	partial	50.0
243593	24.0	9.0	off	partial	50.0
243594	24.0	9.0	off	partial	50.0
243595	24.0	9.0	off	partial	50.0

Most frequently occurring

	fps_mean	rtt_mean	rtt_std	auto_bitrate_state	auto_fec_state	auto_fec_mean	# duplicates
739	30.0	0.0	0.000000	off	partial	50.0	614
347	26.0	0.0	0.000000	off	partial	50.0	195
418	29.0	0.0	0.000000	off	partial	50.0	195
437	29.0	124.0	0.000000	off	partial	50.0	170
401	28.0	0.0	0.000000	off	partial	50.0	130
779	30.0	3.3	0.483046	off	partial	50.0	105
377	27.0	0.0	0.000000	off	partial	50.0	102
751	30.0	3.0	0.000000	off	partial	50.0	83
82	24.0	0.0	0.000000	off	partial	50.0	78
240	25.0	0.0	0.000000	off	partial	50.0	70

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequently occurring